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Cited by 276

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Charging-free electrochemical system for harvesting low-grade thermal energy

Open access
Yang, Yuan, Lee, Seok Woo, Ghasemi, Hadi, Loomis, James, Li, Xiaobo, Kraemer, Daniel, Zheng, Guangyuan, Cui, Yi, Chen, Gang·2014·Proceedings of the National Academy of Sciences

Abstract

Significance: Tremendous low-grade heat is stored in industrial processes and the environment. Efficient and low-cost utilization of the low-grade heat is critical to imminent energy and environmental challenges. Here, a rechargeable electrochemical cell (battery) is used to harvest such thermal energy because its voltage changes significantly with temperature. Moreover, by carefully tuning the composition of electrodes, the charging process is purely powered by thermal energy and no electricity is required to charge it. A high heat-to-electricity conversion efficiency of 2.0% can be reached when it is operated between 20 and 60 °C. Such charging-free characteristic may have potential application for harvesting low-grade heat from the environment, especially in remote areas.

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Crossref · 10.1073/pnas.1415097111

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Metadata

Authors
Yang, Y., Lee, S. W., Ghasemi, H., Loomis, J., Li, X., Kraemer, D., Zheng, G., Cui, Y., & Chen, G.
Venue
Proceedings of the National Academy of Sciences
Published
2014-11-17
Volume
111
Issue
48
Pages
17011-17016
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1970981096
Cited by
276
References
16
FWCI
5.51
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Charging-free electrochemical system for harvesting low-grade thermal energy. https://app.cochat.ai/papers/10.1073/pnas.1415097111
The paper
Yang, Y., Lee, S. W., Ghasemi, H., Loomis, J., Li, X., Kraemer, D., Zheng, G., Cui, Y., & Chen, G. (2014). Charging-free electrochemical system for harvesting low-grade thermal energy. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1415097111

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.